Deep Learning Applications in Business Activities

Zhiqiao Zhong; Xu Zhuang

doi:doi:10.11648/j.ajmse.20180305.11

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Deep Learning Applications in Business Activities

Zhiqiao Zhong, Xu Zhuang

Published in American Journal of Management Science and Engineering (Volume 3, Issue 5)

Received: 14 September 2018 Accepted: 9 October 2018 Published: 24 October 2018

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Abstract

With huge improvement of computer calculation abilities, deep learning method have great potential applications in wider business fields. With the data provided by many companies, deep learning method has achieved great success in the aspect of reducing expense of companies’ activities, and brought unexpected profits. This article explains the basic principles of deep learning, introduce its main scope of application, and explore its application in business. This article provides a more pertinent assessment by querying the data and relevant reports of the enterprises engaged in this work. This article introduces and explain the mathematical equations for the deep learning, and discuss about different types of Neural Network including Feed-forward Neural Networks and Recurrent Neural Networks. Based on the types of deep learning model, this article demonstrates the applications of deep learning method in business activities based on concrete examples. The applications include Customer Service, Sales, Marketing, Daily Operation and Risks Management. Through the relevant queries, this article indicates a lot of convincing data and examples to prove that deep learning in business activities has a good effect. This is instructive and helps business practitioners to consider a new and more effective way to increase revenue or save costs. Through the relevant queries, this article found a lot of convincing data and examples to prove that deep learning in business activities has a good effect. Studying from the principle of deep learning to the applications in real business situation, deep learning is coherently introduced to the audience.

Published in	American Journal of Management Science and Engineering (Volume 3, Issue 5)
DOI	10.11648/j.ajmse.20180305.11
Page(s)	38-43
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Deep Learning, Business, Neural Networks

References

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APA Style

Zhiqiao Zhong, Xu Zhuang. (2018). Deep Learning Applications in Business Activities. American Journal of Management Science and Engineering, 3(5), 38-43. https://doi.org/10.11648/j.ajmse.20180305.11

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ACS Style

Zhiqiao Zhong; Xu Zhuang. Deep Learning Applications in Business Activities. Am. J. Manag. Sci. Eng. 2018, 3(5), 38-43. doi: 10.11648/j.ajmse.20180305.11

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AMA Style

Zhiqiao Zhong, Xu Zhuang. Deep Learning Applications in Business Activities. Am J Manag Sci Eng. 2018;3(5):38-43. doi: 10.11648/j.ajmse.20180305.11

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@article{10.11648/j.ajmse.20180305.11,
  author = {Zhiqiao Zhong and Xu Zhuang},
  title = {Deep Learning Applications in Business Activities},
  journal = {American Journal of Management Science and Engineering},
  volume = {3},
  number = {5},
  pages = {38-43},
  doi = {10.11648/j.ajmse.20180305.11},
  url = {https://doi.org/10.11648/j.ajmse.20180305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20180305.11},
  abstract = {With huge improvement of computer calculation abilities, deep learning method have great potential applications in wider business fields. With the data provided by many companies, deep learning method has achieved great success in the aspect of reducing expense of companies’ activities, and brought unexpected profits. This article explains the basic principles of deep learning, introduce its main scope of application, and explore its application in business. This article provides a more pertinent assessment by querying the data and relevant reports of the enterprises engaged in this work. This article introduces and explain the mathematical equations for the deep learning, and discuss about different types of Neural Network including Feed-forward Neural Networks and Recurrent Neural Networks. Based on the types of deep learning model, this article demonstrates the applications of deep learning method in business activities based on concrete examples. The applications include Customer Service, Sales, Marketing, Daily Operation and Risks Management. Through the relevant queries, this article indicates a lot of convincing data and examples to prove that deep learning in business activities has a good effect. This is instructive and helps business practitioners to consider a new and more effective way to increase revenue or save costs. Through the relevant queries, this article found a lot of convincing data and examples to prove that deep learning in business activities has a good effect. Studying from the principle of deep learning to the applications in real business situation, deep learning is coherently introduced to the audience.},
 year = {2018}
}

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TY  - JOUR
T1  - Deep Learning Applications in Business Activities
AU  - Zhiqiao Zhong
AU  - Xu Zhuang
Y1  - 2018/10/24
PY  - 2018
N1  - https://doi.org/10.11648/j.ajmse.20180305.11
DO  - 10.11648/j.ajmse.20180305.11
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 38
EP  - 43
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20180305.11
AB  - With huge improvement of computer calculation abilities, deep learning method have great potential applications in wider business fields. With the data provided by many companies, deep learning method has achieved great success in the aspect of reducing expense of companies’ activities, and brought unexpected profits. This article explains the basic principles of deep learning, introduce its main scope of application, and explore its application in business. This article provides a more pertinent assessment by querying the data and relevant reports of the enterprises engaged in this work. This article introduces and explain the mathematical equations for the deep learning, and discuss about different types of Neural Network including Feed-forward Neural Networks and Recurrent Neural Networks. Based on the types of deep learning model, this article demonstrates the applications of deep learning method in business activities based on concrete examples. The applications include Customer Service, Sales, Marketing, Daily Operation and Risks Management. Through the relevant queries, this article indicates a lot of convincing data and examples to prove that deep learning in business activities has a good effect. This is instructive and helps business practitioners to consider a new and more effective way to increase revenue or save costs. Through the relevant queries, this article found a lot of convincing data and examples to prove that deep learning in business activities has a good effect. Studying from the principle of deep learning to the applications in real business situation, deep learning is coherently introduced to the audience.
VL  - 3
IS  - 5
ER  -

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Author Information

Zhiqiao Zhong

Guangdong Country Garden School, Foshan, China
Xu Zhuang

School of Science, Tianjin University, Tianjin, China

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APA Style

Zhiqiao Zhong, Xu Zhuang. (2018). Deep Learning Applications in Business Activities. American Journal of Management Science and Engineering, 3(5), 38-43. https://doi.org/10.11648/j.ajmse.20180305.11

Copy | Download

ACS Style

Zhiqiao Zhong; Xu Zhuang. Deep Learning Applications in Business Activities. Am. J. Manag. Sci. Eng. 2018, 3(5), 38-43. doi: 10.11648/j.ajmse.20180305.11

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AMA Style

Zhiqiao Zhong, Xu Zhuang. Deep Learning Applications in Business Activities. Am J Manag Sci Eng. 2018;3(5):38-43. doi: 10.11648/j.ajmse.20180305.11

Copy | Download

@article{10.11648/j.ajmse.20180305.11,
  author = {Zhiqiao Zhong and Xu Zhuang},
  title = {Deep Learning Applications in Business Activities},
  journal = {American Journal of Management Science and Engineering},
  volume = {3},
  number = {5},
  pages = {38-43},
  doi = {10.11648/j.ajmse.20180305.11},
  url = {https://doi.org/10.11648/j.ajmse.20180305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20180305.11},
  abstract = {With huge improvement of computer calculation abilities, deep learning method have great potential applications in wider business fields. With the data provided by many companies, deep learning method has achieved great success in the aspect of reducing expense of companies’ activities, and brought unexpected profits. This article explains the basic principles of deep learning, introduce its main scope of application, and explore its application in business. This article provides a more pertinent assessment by querying the data and relevant reports of the enterprises engaged in this work. This article introduces and explain the mathematical equations for the deep learning, and discuss about different types of Neural Network including Feed-forward Neural Networks and Recurrent Neural Networks. Based on the types of deep learning model, this article demonstrates the applications of deep learning method in business activities based on concrete examples. The applications include Customer Service, Sales, Marketing, Daily Operation and Risks Management. Through the relevant queries, this article indicates a lot of convincing data and examples to prove that deep learning in business activities has a good effect. This is instructive and helps business practitioners to consider a new and more effective way to increase revenue or save costs. Through the relevant queries, this article found a lot of convincing data and examples to prove that deep learning in business activities has a good effect. Studying from the principle of deep learning to the applications in real business situation, deep learning is coherently introduced to the audience.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Deep Learning Applications in Business Activities
AU  - Zhiqiao Zhong
AU  - Xu Zhuang
Y1  - 2018/10/24
PY  - 2018
N1  - https://doi.org/10.11648/j.ajmse.20180305.11
DO  - 10.11648/j.ajmse.20180305.11
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 38
EP  - 43
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20180305.11
AB  - With huge improvement of computer calculation abilities, deep learning method have great potential applications in wider business fields. With the data provided by many companies, deep learning method has achieved great success in the aspect of reducing expense of companies’ activities, and brought unexpected profits. This article explains the basic principles of deep learning, introduce its main scope of application, and explore its application in business. This article provides a more pertinent assessment by querying the data and relevant reports of the enterprises engaged in this work. This article introduces and explain the mathematical equations for the deep learning, and discuss about different types of Neural Network including Feed-forward Neural Networks and Recurrent Neural Networks. Based on the types of deep learning model, this article demonstrates the applications of deep learning method in business activities based on concrete examples. The applications include Customer Service, Sales, Marketing, Daily Operation and Risks Management. Through the relevant queries, this article indicates a lot of convincing data and examples to prove that deep learning in business activities has a good effect. This is instructive and helps business practitioners to consider a new and more effective way to increase revenue or save costs. Through the relevant queries, this article found a lot of convincing data and examples to prove that deep learning in business activities has a good effect. Studying from the principle of deep learning to the applications in real business situation, deep learning is coherently introduced to the audience.
VL  - 3
IS  - 5
ER  -

Copy | Download